Data Engineer Salary Based on Skills
As they say, you cannot change the wind but you can change the sails. Similarly, you may have no control over the changing industrial trends, but you can update your skills to make a better professional standing. People who possess the knowledge of the hottest tools and technologies are usually offered better roles at a higher pay. Given below are some of the most profitable skills in data engineering.
Expertise |
Average salary per year |
---|---|
SQL |
₹ 8,49,861 |
Python |
₹ 8,56,294 |
Amazon Web Services (AWS) |
₹ 9,69,051 |
ETL (Extract, transform, load) |
₹ 9,07,922 |
Apache Spark |
₹ 10,00,176 |
Hadoop |
₹ 8,70,222 |
Apache Kafka |
₹ 11,00,000 |
Trending Skills for a Data Engineer 2023
- Statistical Visualization: Expertise in visualization software like Tableau can help you go a long way as it assists in presenting information with interactive dashboards, charts, graphs and data models. Learn how to create the perfect data visualization models with w3wiki’ complete Tableau Tutorial.
- Database Management: Understanding the core concepts of database management is crucial because a data engineer has to extract data from different sources, and hence databases. Knowledge of database management tools like MongoDB and Oracle are some of the most profitable skills in the market.
- Econometrics: Understanding econometrics, which is applying data models for predicting future trends, is gaining high traction for people looking for jobs in the FinTech sector. Besides, acquiring the skills provides an edge for other sectors as well because business aptitude is a prerequisite for organizational data analytics.
- Cloud Computing: Analyzing data stored in cloud platforms is one of the key tasks of a data engineer in many industries now. Google Cloud, Amazon Web Services (AWS) and Microsoft Azure are some of the cloud services used by companies all over the world.
- Machine Learning and Deep Learning: As a data engineer, you must want to know about machine learning and deep learning as these sub-branches of AI help build more accurate algorithms for big data. Developing these skills are not necessary for data engineering professionals, but can give a competitive edge when looking for jobs.
- Programming: It goes without saying but experience in Excel alone is not sufficient to boost your data engineering career. Proficiency in languages like Python and R allows you to conduct advanced data analysis. Most importantly, both languages are open source and almost all companies use them.
If you are struggling with how to develop the key skills for launching or boosting your career as a data engineer, sign up for the Complete Machine Learning & Data Science Program on w3wiki now!
Data Engineer Salary in India for Freshers & Experienced (2023)
The analytics market in India witnessed a whopping 35% Y-O-Y growth in 2022. As data assimilation is penetrating almost every Indian industry, the demand for data engineers is increasing faster than ever. In recent years, data science & engineering has been ranked amongst the top 5 most paying jobs worldwide. India alone has offered packages as high as ₹ 1.3 crores to exceptionally talented data engineers. Though there are no fixed criteria as to how a data engineering professional gets paid, it is a bankable and challenging career path overall. The average data engineer salary in India is ₹ 7.3 lakhs/year with the monthly payout being ₹ 54,500 to ₹ 56,000.